Re: [Gretl-users] Generate Discrete Uniform with negative bounds

I seem to be able to replicate this behaviour. Of course, you could always rewrite the function along the following lines (for your example): nulldata 100 genr scalar lb=-5 genr scalar ub=1 genr series Z1 = randgen(i,0,ub-lb)+lb HTH, Jan Annaert From: Alecos Papadopoulos <papadopalex@aueb.gr<mailto:papadopalex@aueb.gr>> Reply-To: "gretl-users@lists.wfu.edu<mailto:gretl-users@lists.wfu.edu>" <gretl-users@lists.wfu.edu<mailto:gretl-users@lists.wfu.edu>> Date: woensdag 6 augustus 2014 05:31 To: "gretl-users@lists.wfu.edu<mailto:gretl-users@lists.wfu.edu>" <gretl-users@lists.wfu.edu<mailto:gretl-users@lists.wfu.edu>> Subject: Re: [Gretl-users] Generate Discrete Uniform with negative bounds Good afternoon. I tried to generate discrete uniform random variables using randgen, but it appears that the function cannot take negative values as bounds for the distribution (if both minimum and maximum are positive, then everything works fine. If either one or both bounds are negative numbers, it goes berserk). The script is nulldata 100 genr scalar lb=-5 genr scalar ub=1 genr series Z1 = randgen(i,lb,ub) and the summary statistics are Summary statistics, using the observations 1 - 100 for the variable 'Z1' (100 valid observations) Mean 2.7488e+009 Median 4.2950e+009 Minimum 0.00000 Maximum 4.2950e+009 Standard deviation 2.0720e+009 C.V. 0.75378 Skewness -0.58333 Ex. kurtosis -1.6597 5% percentile 0.00000 95% percentile 4.2950e+009 Interquartile range 4.2950e+009 Missing obs. 0 -- Alecos Papadopoulos Athens University of Economics and Business, Greece Department of Economics cell:+30-6945-378680 fax: +30-210-8259763 skype:alecos.papadopoulos _______________________________________________ Gretl-users mailing list Gretl-users@lists.wfu.edu<mailto:Gretl-users@lists.wfu.edu> http://lists.wfu.edu/mailman/listinfo/gretl-users